Papers
Self-Bootstrapping for Versatile Test-Time Adaptation
Shuaicheng Niu, Guohao Chen, Peilin Zhao et al.
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen et al.
Self-Consistency Preference Optimization
Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang et al.
Self-Consuming Generative Models with Adversarially Curated Data
Xiukun Wei, Xueru Zhang
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Qi Xu, Junyang Zhu, Dongdong Zhou et al.
Self-Discriminative Modeling for Anomalous Graph Detection
Jinyu Cai, Yunhe Zhang, Jicong Fan
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
Jintao Tong, Yixiong Zou, Guangyao Chen et al.
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee, Ziyang Cai, Avi Schwarzschild et al.
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera
Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma
Quentin Bertrand, Juan Agustin Duque, Emilio Calvano et al.
Self-supervised Adversarial Purification for Graph Neural Networks
Woohyun Lee, Hogun Park
Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
Haoyang Li, Xin Wang, Zeyang Zhang et al.
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong Xu, Wenhao Li, Scott Sanner et al.
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
Qiuxia Lin, Rongyu Chen, Kerui Gu et al.
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
Run He, Di Fang, Yicheng Xu et al.
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
Yan Zhong, Chenxi Yang, Suyuan Zhao et al.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning
Marcin Sendera, Łukasz Struski, Kamil Książek et al.
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk et al.
Separating Knowledge and Perception with Procedural Data
Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola et al.
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
Guoxuan Chen, Han Shi, Jiawei Li et al.
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization
Yan Liu, Mingjie Chen, Chaojie Ji et al.
Settling the Maximin Share Fairness for Scheduling among Groups of Machines
Bo Li, Fangxiao Wang, Xing Shiji
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit